GLM-5.3 is 82.5% cheaper for input tokens ($0.35 vs. $2.00 per 1M tokens) and $1.00 vs. $8.00 for output tokens (5.7x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (990ms faster than OpenAI o3) with 120 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 56.0% for GLM-5.3 and 87.7% vs. 67.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
GLM-5.3
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.35
$2.00
GLM-5.3 is 5.7x cheaper
Output Cost / 1M Tokens
$1.00
$8.00
GLM-5.3 (87.5% lower)
Prompt Cache Read / 1M
$0.090
$0.500
GLM-5.3 is 5.6x cheaper
Prompt Cache Write / 1M
$0.35
$2.00
GLM-5.3 is 5.7x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o3 (1.6x larger context)
Avg TTFT Response Latency
160ms
1150ms
GLM-5.3 (990ms faster)
Generation Speed (Throughput)
120 tok/s
82 tok/s
GLM-5.3 (+38 tok/s faster)
SWE-bench Verified (Coding)
56%
71.7%
OpenAI o3 (+15.7% lead)
GPQA Diamond (PhD STEM)
67%
87.7%
OpenAI o3 (+20.7% lead)
MMLU-Pro (Multi-Discipline)
80.5%
89.8%
OpenAI o3 (+9.3% lead)
MATH-500 (Quantitative Logic)
88%
98.6%
OpenAI o3 (+10.6% lead)
Inference Value Score (IVR)
69.9 / 100
60.6 / 100
GLM-5.3 (+9.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GLM-5.3 (Zhipu AI) for bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution — offering a 131k context window, 160ms TTFT, and $0.35/1M input pricing ($0.090/1M cached reads).
GLM-5.3 is cheaper at $0.35/1M input tokens ($1.00/1M output) compared to $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: GLM-5.3 or OpenAI o3?
GLM-5.3 delivers faster first-token latency at 160ms TTFT (120 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do GLM-5.3 and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GLM-5.3 scores 56% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, GLM-5.3 scores 67% versus 87.7% for OpenAI o3 (and 88% vs 98.6% on MATH-500).
When should you choose GLM-5.3?
Choose GLM-5.3 (Zhipu AI) for bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution — offering a 131k context window, 160ms TTFT, and $0.35/1M input pricing ($0.090/1M cached reads).
When should you choose OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
